Engineering remains the top choice of students after 10+2, almost 9 lakh students choose computer science engineering as their choice of study every year. But we have also witnessed that as a fresher several students do not secure a good job in their first fresher year, and they are forced to pursue additional courses to get a job. These courses are nothing but extensions of their engineering degrees. So can we find some computer engineering streams which are future proof, which means by completing these degrees aspirants will not only get a job but that too a fairly rewarding one. Is it even possible to invest the next few years where you will not only earn a reputed engineering degree but can also rest assured that the course you have studied will remain relevant after you complete your 4-year degree? Can we find top 3 sectors or Study streams in computer engineering where a student can find a job with near perfect work-life balance? Let us try to uncover these upcoming computer engineering branches which can stay relevant for the next few decades.
With the current age of information technology, Data is everywhere from entry gates to billing counters, from cinema halls to schools, from factories to government offices, from Mobile apps to supercomputers, we are generating & gathering data at an exuberant pace. You might have already heard the term “Data is the new Oil” . This term is truly relevant to several aspects of Data Science, for example Like OIL (Read Crude Oil) Data also needs processing as OIL, which makes Data (& OIL) usable. Essentially Data Science is a branch of study, in which we learn to gather data, process the data and then generate meaningful reports from data, which can positively affect business or organisational goals. Now why we have kept it number one in the future proof list, because right now data science is in its teen years, and it will flourish further in upcoming decades. Practically you can not find an industry which is not using data to their benefits, and with time this trend will go higher so does the demand for professionals in this field. So, it’s safe to assume that if you pursue B.Tech. in computer science with a focus in Data Science then there will be opportunities for the people who prove their mettle in the field.
#2- Artificial Intelligence
computers are evolving at an amazingly fast pace, computing power is increasing and now computers are more powerful than ever, with more computing power, modern computers can accomplish tasks which felt seemingly impossible a few years ago. As we just read that data is available in humongous quantities and with new techniques usable conclusions can be made from the data. If we provide computers an ability to learn from experience and available data then we will be able to automate several tasks in a much impactful way, and this is what Artificial intelligence is striving to accomplish, in simpler words, an Intelligence created by humans which is a set of algorithms that can produce outcomes without explicitly instructed to do so. Artificial Intelligence (AI) mimics human intelligence, like human babies gathering information and inputs and then slowly starts producing outcomes/results/ decisions as they grow. Similarly, AI enabled machines are expected to process inputs, data, and a predefined set of knowledge to imitate intelligence and act and think on its own. Currently AI is in its infant stage and is called Weak AI, next comes General AI & the third version would be called Strong AI. AI is expected to grow at an amazingly fast pace, one can compare the current AI situation to, early 70s situation for computers, in 3-4 decades computers have taken space for almost every aspect of human lives, Similar kind of expansion is expected from AI.
Thus, we can call it a future proof stream of study if your B.Tech. degree in computer science can have the inclusion of Artificial Intelligence it will surely bring shining career opportunities once you complete your degree.
#3- Machine Learning
Machine Learning is a subset of Artificial Intelligence and basically Machine learning is an application or set of applications/programs to prepare machines to learn from data without being manually instructed to do so. Imagine if doctors can predict serious diseases like cancer or diabetes with the help of technology at an exceedingly early stage. Or programs which can detect cyber-attacks, its patterns, vulnerabilities & remedies automatically, these are few examples of machine learning. As a practical & implementable subset of AI, machine learning will have faster career opportunities, in fact companies have already started working and Machine Learning engineer’s demand have started gaining traction for middle career professionals. As this field of engineering will grow then it is expected to have large demands for entry level, mid senior & senior level professionals as well. So, if you decide to understand the nuances of machine learning during your B.Tech. Degree then chances are that you will find ample opportunities in the machine learning space in the upcoming future once you complete your degree with flying colours.
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All the best.